METHOD: Based on the proposed model, a quantitative method was employed to obtain data from G7 construction industry operating within the peninsular Malaysia. Out of the 180 copies of questionnaire, 165 copies were properly filled, returned, and used for the analysis. PLS-SEM was used to analyze the obtained data.
RESULTS: The findings of the study affirmed that specialization, centralization, and management of risk by the construction industry had positive correlation.
CONCLUSIONS: As anticipated, coercive pressure had positive moderating correlation with both formalization and the management of risk by the construction industry. Similarly, it was also found that in the course of carrying out construction activities, coercive pressure made significant interactive influence on formalization, specialization, and centralization. Practical Applications: Coercive pressure reduced the frequency of accidents among workers in the process of carrying out construction works.
OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace.
RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk.
CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.
METHODS: Urologists worldwide completed a Société Internationale d'Urologie online survey from 16 April 2020 until 1 May 2020. Analysis was carried out to evaluate their knowledge about protecting themselves and others in the workplace, including their confidence in their ability to remain safe at work, and any regional differences.
RESULTS: There were 3488 respondents from 109 countries. Urologists who stated they were moderately comfortable that their work environment offers good protection against coronavirus disease 2019 showed a total mean satisfaction level of 5.99 (on a "0 = not at all" to "10 = very" scale). A large majority (86.33%) were confident about protecting themselves from coronavirus disease 2019 at work. However, only about one-third reported their institution provided the required personal protective equipment (35.78%), and nearly half indicated their hospital has or had limited personal protective equipment availability (48.08%). Worldwide, a large majority of respondents answered affirmatively for testing the healthcare team (83.09%). Approximately half of the respondents (52.85%) across all regions indicated that all surgical team members face an equal risk of contracting coronavirus disease 2019 (52.85%). Nearly one-third of respondents reported that they had experienced social avoidance (28.97%).
CONCLUSIONS: Our results show that urologists lack up-to-date knowledge of preferred protocols for personal protective equipment selection and use, social distancing, and coronavirus disease 2019 testing. These data can provide insights into functional domains from which other specialties could also benefit.